{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "# 为什么一定要掌握自学能力？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "一句话解释清楚：\n",
    "\n",
    "> 没有自学能力的人没有**未来**。\n",
    "\n",
    "有两个因素需要深入考虑：\n",
    "\n",
    "> * 未来的日子还很长\n",
    "> * 这世界进步得太快\n",
    "\n",
    "我有个观察：\n",
    "\n",
    "> 很多人都会不由自主地去复刻父母的人生时刻表。\n",
    "\n",
    "比如，你也可能观察到了，父母晚婚的人自己晚婚的概率更高，父母晚育的人自己晚育的概率也更高……\n",
    "\n",
    "再比如，绝大多数人的内心深处，会不由自主地因为自己的父母在五十五岁的时候退休了，所以就默认自己也会在五十五岁前后退休…… 于是，到了四十岁前后的时候就开始认真考虑退休，在不知不觉中就彻底丧失了斗志，早早就活得跟已经老了很多岁似的。\n",
    "\n",
    "但是，这很危险，因为很多人完全没有意识到自己所面临的人生，与父母所面临的人生可能完全不一样 —— 各个方面都不一样。单举一个方面的例子，也是比较容易令人震惊的方面：\n",
    "\n",
    "> 全球范围内都一样，在过去的五十年里，人们的平均寿命预期增长得非常惊人……\n",
    "\n",
    "拿中国地区做例子，根据世界银行的数据统计，中国人在出生时的寿命预期，从 1960 年的 _43.73_ 岁，增长到了 2016 年的 _76.25_ 岁，56 年间的增幅竟然有 **74.39%** 之多！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "data = np.genfromtxt('life-expectancy-china-1960-2016.txt',\n",
    "                     delimiter=',',\n",
    "                     names=['x', 'y'])\n",
    "da1960  = data[0][1]\n",
    "da2016  = data[-1][1]\n",
    "increase = (da2016 - da1960) / da1960\n",
    "note = 'from {:.2f} in 1960 to {:.2f} in 2016, increased  {:.2%}'\\\n",
    "    .format(da1960, da2016, increase)\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(data['x'], data['y'])\n",
    "plt.ylabel('Life Expectancy from Birth')\n",
    "plt.tick_params(axis='x', rotation=70)\n",
    "plt.title('CHINA\\n' + note)\n",
    "\n",
    "# plt.savefig('life-expectancy-china-1960-2016.png', transparent=True)\n",
    "plt.show()\n",
    "\n",
    "# data from:\n",
    "# https://databank.worldbank.org/data/reports.aspx?source=2&series=SP.DYN.LE00.IN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "如此发展下去，虽然人类不大可能永生不死，但平均寿命依然在持续延长是个不争的事实。与上一代不同，现在的千禧一代，需要面对的是百岁人生 —— 毫无疑问，不容置疑。\n",
    "\n",
    "这么长的人生，比默认的想象中可能要多出近一倍的人生，再叠加上另外一个因素 —— 这是个变化越来越快的世界 —— 会是什么样子？\n",
    "\n",
    "我是 1972 年出生的。从交通工具来看，我经历过出门只能靠步行，大街上都是牛车马车，机动车顶多见过拖拉机，到有自行车，到见过摩托车，到坐小汽车，到自己开车，到开有自动辅助驾驶功能的电动车…… 从阅读来看，我经历过只有新华书店，到有网络上的文字，到可以在当当上在线买到纸质书，到有了国际信用卡后可以在 Amazon 上第一时间阅读新书的电子版、听它的有声版，到现在可以很方便地获取最新知识的互动版，并直接参与讨论…… 从技能上来看，我经历过认为不识字是文盲，到不懂英语是文盲，到不懂计算机是文盲，到现在，不懂数据分析的基本与文盲无异……\n",
    "\n",
    "我也见识过很多当年很有用很赚钱很令人羡慕的技能 “突然” 变成几乎毫无价值的东西，最明显的例子是驾驶。也就是二十多年前，的哥还是很多人羡慕的职业呢！我本科的时候学的是会计专业，那时候我们还要专门练习打算盘呢！三十年之后的今天，就算有人打算盘打得再快，有什么具体用处嘛？我上中学的时候，有个人靠出版字帖赚了大钱 —— 那时候据说只要写字漂亮就能找到好工作；可今天，写字漂亮与否还是决定工作好坏的决定性因素吗？打印机很便宜啊！\n",
    "\n",
    "这两个因素叠加在一起的结果就是，这世界对很多人来说，其实是越来越残忍的。\n",
    "\n",
    "我见过太多的同龄人，早早就停止了进步，早早就被时代甩在身后，早早就因此茫然不知所措 —— 早早晚晚，你也会遇到越来越多这样的人。他们的共同特征只有一个：\n",
    "\n",
    "> 没有自学能力\n",
    "\n",
    "有一个统计指数，叫做人类发展指数（Human Development Index），它的曲线画出来，怎么看都有即将成为指数级上升的趋势。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "lebdata = np.genfromtxt('life-expectancy-china-1960-2016.txt',\n",
    "                        delimiter=',',\n",
    "                        names=['x', 'y'])\n",
    "\n",
    "hdidata = np.genfromtxt('hdi-china-1870-2015.txt',\n",
    "                        delimiter=',',\n",
    "                        names=['x', 'y'])\n",
    "\n",
    "\n",
    "plt.plot(hdidata['x'], hdidata['y'], label='Human Development Index')\n",
    "plt.tick_params(axis='x', rotation=70)\n",
    "plt.title('China: 1870 - 2015')\n",
    "\n",
    "plt.plot(lebdata['x'], lebdata['y'] * 0.005, label='Life Expectancy from Birth')\n",
    "plt.plot(secondary_y=True)\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "# plt.savefig('human-development-index-china-1870-2015.png', transparent=True)\n",
    "plt.show()\n",
    "\n",
    "# link:\n",
    "# https://ourworldindata.org/human-development-index\n",
    "\n",
    "# data from:\n",
    "# blob:https://ourworldindata.org/44b6da71-f79e-42ab-ab37-871e4bd256e9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "社会发展越来越快，你要面对的人生越来越长，在那一段与你的直觉猜想并不相同的漫漫人生路上，你居然没有磨练过自学能力，竟然只能眼睁睁地看着自己被甩下且无能为力，难道接下来要在那么长的时间里 “苦中作乐” 吗？\n",
    "\n",
    "没有未来的日子，怎么过呢？\n",
    "\n",
    "我本科学的是会计，研究生跑到国外读宏观经济学没读完，跑回国内做计算机硬件批发，再后来去新东方应聘讲授托福课程，离开新东方之后创业，再后来做投资，这期间不断地写书…… 可事实上，我的经历在这个时代并不特殊。有多少人在后来的职业生涯中所做的事情与当年大学里所学的专业相符呢？\n",
    "\n",
    "纽约联邦储蓄银行在 2012 年做过一个调查，发现人们的职业与自己大学所学专业相符的比例连 _30%_ 都不到。而且，我猜，这个比例会持续下降的 —— 因为这世界变化快，因为大多数教育机构与世界发展脱钩的程度只能越来越严重……"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "labels = ['Major Match', '']\n",
    "sizes = [273, 727]\n",
    "colors = ['#E2E2E2', '#6392BF']\n",
    "explode = (0, 0.08)\n",
    "plt.figure(figsize=(7, 7))\n",
    "plt.pie(sizes,\n",
    "        labels=labels,\n",
    "        explode=explode,\n",
    "        autopct='%1.1f%%',\n",
    "        colors=colors,\n",
    "        startangle=270,\n",
    "        shadow=True)\n",
    "# plt.savefig('major-match-job.png', transparent=True)\n",
    "plt.show()\n",
    "\n",
    "# data from:\n",
    "# https://libertystreeteconomics.newyorkfed.org/2013/05/do-big-cities-help-college-graduates-find-better-jobs.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "绝大多数人终生都饱受**时间幻觉**的拖累。\n",
    "\n",
    "小时候觉得时间太长，那是幻觉；长大了觉得时间越来越快，那还是幻觉 —— 时间从来都是匀速的。最大的幻觉在于，总是以为 “时间不够了” —— 这个幻觉最坑人。许多年前，有一次我开导我老婆。她说，“啊？得学五年才行啊？！太长了！” 我说，\n",
    "\n",
    "> “你回头看看呗，想想呗，五年前你在做什么？是不是回头一看的时候，五年前就好像是昨天？道理是一样的，五年之后的某一天你回头想今天，也是 ‘一转眼五年就过去’ 了…… 只不过，你今天觉得需要时间太多，所以不肯学 —— 但是，不管你学还是不学，五年还是会 ‘一转眼就过去’ 的…… 到时候再回头，想起这事的时候，没学的你，一定会后悔 —— 事实上，你已经有很多次后悔过 ‘之前要是学了就好了’，不是吗？”\n",
    "\n",
    "现在回头看，开导是非常成功的。十多年后的今天，她已经真的可以被称为 “自学专家” —— 各种运动在她那儿都不是事。健身，可以拿个北京市亚军登上健与美杂志封面；羽毛球，可以参加专业比赛；潜水，潜遍全球所有潜水胜地，到最后拿到的各种教练证比她遇到的各地教练的都多、更高级；帆船，可以组队横跨大西洋；爬山，登上喜马拉雅……"
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    "都说，人要有一技之长。那这一技究竟应该是什么呢？\n",
    "\n",
    "> 自学能力是唯一值得被不断磨练的长技。\n",
    "\n",
    "磨练出自学能力的好处在于，无论这世界需要我们学什么的时候，我们都可以主动去学，并且还是马上开始 —— 不需要等别人教、等别人带。\n",
    "\n",
    "哪怕有很强的自学能力的意思也并不是说，什么都能马上学会、什么都能马上学好，到最后无所不精无所不通…… 因为这里有个时间问题。无论学什么，都需要耗费时间和精力，与此同时更难的事情在于不断填补耐心以防它过早耗尽。另外，在极端的情况下，多少也面临天分问题。比如身高可能影响打篮球的表现，比如长相可能影响表演的效果，比如唱歌跑调貌似是很难修复的，比如有些人的粗心大意其实是基因决定的，等等。不过，以我的观察，无论是什么，哪怕只是学会一点点，都比不会强。哪怕只是中等水平，就足够应付生活、工作、养家糊口的需求。\n",
    "\n",
    "我在大学里学的是会计专业，毕业后找不到对口工作，只好去做销售 —— 没人教啊！怎么办？自学。也有自学不怎么样的时候，比如当年研究生课程我就读不完。后来想去新东方教书 —— 因为听说那里赚钱多 —— 可英语不怎么样啊！怎么办？自学。离开新东方去创业，时代早就变了，怎么办？自学，学的不怎么样，怎么办？硬挺。虽然创业这事后来也没怎么大成，但竟然在投资领域开花结果 —— 可赚了钱就一切平安如意了吗？并不是，要面对之前从来没可能遇到的一些险恶与困境，怎么办？自学。除了困境之外，更痛苦的发现在于对投资这件事来说，并没有受过任何有意义的训练，怎么办？自学。觉得自己理解的差不多了，一出手就失败，怎么办？接着学。\n",
    "\n",
    "我出身一般，父母是穷教师。出生在边疆小镇，儿时受到的教育也一般，也是太淘气 —— 后来也没考上什么好大学。说实话，我自认天资也一般，我就是那种被基因决定了经常马虎大意的人。岁数都这么大了，情商也都不是一般的差 —— 还是跟年轻的时候一样，经常莫名其妙就把什么人给得罪透了……\n",
    "\n",
    "但我过得一直不算差。\n",
    "\n",
    "靠什么呢？人么，一个都靠不上。到最后，我觉得只有一样东西真正可靠 —— **自学能力**。于是，经年累月，我磨练出了一套属于我自己的本领：只要我觉得有必要，我什么都肯学，学什么都能学会到够用的程度…… 编程，我不是靠上课学会的；英语，不是哪个老师教我的；写作，也不是谁能教会我的；教书，没有上过师范课程；投资，更没人能教我 —— 我猜，也没人愿意教我…… 自己用的东西自己琢磨，挺好。\n",
    "\n",
    "关键在于，自学这事并不难，也不复杂，挺简单的，因为它所需要的一切都很朴素。\n",
    "\n",
    "于是，从某个层面上来看，我每天都过的很开心。为什么？因为我有未来。凭什么那么确信？因为我知道我自己有自学能力。\n",
    "\n",
    "**—— 我希望你也有。**\n",
    "\n",
    "准确地讲，希望你有个更好的未来。\n",
    "\n",
    "而现在我猜，此刻，你心中也是默默如此作想的罢。"
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